A survey of methodologies on causal inference methods in meta-analyses of randomized controlled trials

ConclusionsWe undertook a review of methodologies on causal inference methods in meta-analyses. Although all identified methodologies provide valid causal estimates, there are limitations in the assumptions regarding the data generation process and sampling of the potential RCTs to be included in the meta-analysis which pose challenges to the interpretation and scientific relevance of the identified causal effects. Despite both causal inference and meta-analysis being extensively studied in the literature, limited effort exists of combining those two frameworks.
Source: Systematic Reviews - Category: International Medicine & Public Health Source Type: research